Capability prediction through Design of Experiments (DOE) and Monte Carlo Simulation on Automotive Innovation Activities

Nowadays Design of Experiments (DOE) has been used intensively in industrial environment as an important tool to identify critical factors related to a certain output characteristic. Another relevant characteristic is that the DOE can also be used as a strong resource on “physical system modeling process”, as presented in this paper. It was possible to generate a transfer function relating the output and the main input factors and in sequence a Monte Carlo simulation was used in order to predict the process capability. It was possible to observe a strong convergence between predicted results and real world results.